DocumentCode
1657190
Title
Research on a Predictive Model of the Customer Churn
Author
Fang Xu
Author_Institution
Educ. Inst., Lan Zhou Univ., Lanzhou, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
It analyzes the meaning of churn management for a mobile telecommunication company and key influencing factors, discusses the relational algorithms of data mining, and puts forward the detail of dealing with the churn management of mobile telecommunication company through data mining. and then describes the whole way to make a predictive model to solve a churn management problem by an case. Based on SAS Enterprise Miner to design predictive model for churn management, which will provides a foundation to predict the data of customer churn and lower the rates of churns.
Keywords
customer relationship management; data mining; mobile radio; telecommunication industry; SAS Enterprise Miner; churn management; customer churn; data mining; mobile telecommunication company; predictive model; Companies; Data mining; Data models; Decision trees; Mobile communication; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location
Wuhan
ISSN
2161-9646
Print_ISBN
978-1-4244-6250-6
Type
conf
DOI
10.1109/wicom.2011.6040619
Filename
6040619
Link To Document